基于新型酶电极的微生物发酵多组分在线检测流路控制系统  

Multi-component online detection flow path control system for microbial fermentation based on new enzyme electrode

作　　者：乔文杰 薄翠梅 蒋书波 王轶卿 李俊[1] 储震宇 金万勤[2] QIAO Wen-jie;BO Cui-mei;JIANG Shu-bo;WANG Yi-qing;LI Jun;CHU Zhen-yu;JIN Wan-qin(College of Electrical Engineering and Control Science,Nanjing Tech University,Nanjing 211816,China;State Key Laboratory of Materials-Oriented Chemical Engineering,Nanjing Tech University,Nanjing 211816,China)

机构地区：[1]南京工业大学电气工程与控制科学学院,江苏南京211816 [2]南京工业大学材料化学工程国家重点实验室,江苏南京211816

出　　处：《高校化学工程学报》2022年第1期92-100,共9页Journal of Chemical Engineering of Chinese Universities

基　　金：国家自然科学基金(21727818,62173178);国家重点研发计划(2019YFB1705800)。

摘　　要：针对微生物发酵过程中多组分原位在线监测问题,基于普鲁士蓝(PB)纳米材料制备的新型酶生物传感电极,研究一种原位在线多通道检测流路控制系统。根据酶生物传感电极微电流响应特性,创新设计一种多通道泵阀协同作用流路控制系统,可有效降低交叉污染,提高设备可靠性。根据流路检测逻辑时序要求,研制多组分检测过程移液针精准定位、微量精确进样、定标检测等软件程序模块。采用细分驱动电路控制步进电机,结合梯形加减速算法实现移液针的精准定位和微量精确进样,通过自主调节进样量和定标检测模块,实现多组分、宽范围、快速精确检测。实验结果表明该系统可实现葡萄糖、赖氨酸和乳酸等多组分浓度的宽范围检测,检测精度在2%以内,能够较好地满足微生物发酵多组分在线检测需求。An online in-situ multi-channel detection flow path control system using a new type of enzyme biosensing electrode prepared based on Prussian Blue(PB)nanomaterials was developed for monitoring multi-component in the microbial fermentation.According to the micro-current response characteristics of enzyme biosensing electrodes,a multi-channel pump-valve synergy flow path control system was designed to reduce cross-contamination and improve equipment reliability effectively.The software program modules such as precise positioning of pipette needles,precise micro-injection and calibration detection during multi-component detection were developed according to the logic timing requirements of flow path detection.The precise positioning of the pipette needle and precise micro-injection were realized by combining the trapezoidal acceleration and deceleration algorithm and the stepping motor controlled by subdivision drive circuit.Multi-component,wide-range,fast and accurate detection was performed by independently adjusting the injection volume and calibration detection module.The experimental test results show that the system could detect glucose,lysine and lactic acid in a wide range of concentrations,and the detection accuracy was less than 2%,which can better meet the requirements of simultaneous online detection of multiple components of microbial fermentation.

关 键 词：酶生物传感电极 多组分在线检测 流路控制系统 加减速算法 微量精确进样 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]